The conundrum of missing data vs. inter-rater variability.

“It is becoming a lot more decentralized in terms of how we collect clinical data, which is really constructive for the industry, and also hugely positive for patients.” Accurate data is central to ...

In an interview with Applied Clinical Trials Associate Editor Don Tracy, Shakthi Kumar, chief strategy & business officer, ...

Biomedical concepts by CDISC are tailored to ensure data consistency, and link information throughout the data pipeline.

While patient clinical data and metadata are now being collected in vast amounts, the data also needs to be in the right form to be useful for generating leads on potential drug candidates using AI.

By working together, healthcare providers, policymakers and technology vendors can create a more connected healthcare system ...

As a result, life sciences companies are turning to novel methods of collecting clinical data and innovative trial design. The generation of data to show the significant benefits of a drug has ...

2021). The CFS classification tree can be navigated using routinely collected clinical data. If routine data are not available, raters can use a questionnaire we developed to collect the data needed ...

The vast majority of clinical data abstractors believe AI would save them time, effort and cost, but concerns about data quality without human oversight remain, according to survey results from Carta ...

This designation reflects OneOncology's ability to meet rigorous federal standards for collecting and submitting clinical data on behalf of healthcare providers as part of CMS's Quality Payment ...

Clinical data management companies play a crucial role in the healthcare sector by ensuring the accurate collection, validation, and analysis of clinical trial data. Their work enhances research ...